Identify which statistical test you would use in conjunction with your selected research design from DQ 1 to evaluate the outcomes for your evidence-based project proposal and explain why you selected this test

Sample Answer

Topic 4 DQ 2

Statistical tests denote mathematical tools used to analyze quantitative data emanating from a research study. There are a host of tests that researchers can deploy and choosing an appropriate statistical test assists in determining the most important aspect of a study and organize data appropriate. Statistical analysis helps researchers have a better understanding of findings (Mishra et al., 2019). In this case, the statistical tool that I will deploy is the T-test which is an inferential statistical model that assesses if a significant different exists between the means of two variables that may have a relationship based on certain features or characteristics (Crawford et al., 2020).

For instance, based on my PICOT question on adult patients with chronic diseases and the effects of implementing case management aimed at reducing of length of stay, emergency visits and readmissions within six to twelve months. Researchers can use independent variables and other aspects of project design to choose the right statistical tool. The use of T-test would allow the comparison of the intervention as opposed to traditional care planning where providers do not offer case management to ascertain the process of each individual patient based on their underlying conditions, especially when they are suffering from chronic conditions (Kim & Park, 2019).

Comparison of two variables should lead to a conclusion that case management based on the unique features of individual patients can reduce the length of stay and chances of readmissions upon discharge for individuals with chronic conditions. The outcomes of this evidence-based practice (EBP) intervention are important and testing the ability to attain expected results is essential in developing critical aspects of care for nurses and other care providers.

References

• Crawford, C. L., Rondinelli, J., Zuniga, S., Valdez, R. M., Cullen, L., Hanrahan, K., & Titler, M. G. (2020). Testing of the nursing evidence‐based practice survey. Worldviews on Evidence‐Based Nursing, 17(2), 118-128. DOI 10.1111/wvn.12432
• Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test normality and sample size. Korean journal of anesthesiology, 72(4), 331-335. DOI 10.4097/kja.d.18.00292.
• Mishra, P., Singh, U., Pandey, C. M., Mishra, P., & Pandey, G. (2019). Application of student’s t-test, analysis of variance, and covariance. Annals of cardiac anesthesia, 22(4), 407. DOI 10.4103/aca.ACA_94_19